Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

A.A. 2011/2012

Academic calendar

The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
I semestre Oct 3, 2011 Jan 31, 2012
II semestre Mar 1, 2012 Jun 15, 2012
Exam sessions
Session From To
Sessione straordinaria Feb 1, 2012 Feb 29, 2012
Sessione estiva Jun 18, 2012 Jul 31, 2012
Sessione autunnale Sep 3, 2012 Sep 28, 2012
Degree sessions
Session From To
Sessione autunnale Oct 19, 2011 Oct 19, 2011
Sessione straordinaria Dec 13, 2011 Dec 13, 2011
Sessione invernale Mar 21, 2012 Mar 21, 2012
Sessione estiva Jul 16, 2012 Jul 16, 2012
Holidays
Period From To
Festa di Ognissanti Nov 1, 2011 Nov 1, 2011
Festa dell'Immacolata Concezione Dec 8, 2011 Dec 8, 2011
Vacanze Natalizie Dec 22, 2011 Jan 6, 2012
Vacanze Pasquali Apr 5, 2012 Apr 10, 2012
Festa della Liberazione Apr 25, 2012 Apr 25, 2012
Festa del Lavoro May 1, 2012 May 1, 2012
Festa del Patrono di Verona S. Zeno May 21, 2012 May 21, 2012
Festa della Repubblica Jun 2, 2012 Jun 2, 2012
Vacanze estive Aug 8, 2012 Aug 15, 2012

Exam calendar

Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.

Exam calendar

Should you have any doubts or questions, please check the Enrolment FAQs

Academic staff

A B C D E F G M P Q T V

Assfalg Michael

michael.assfalg@univr.it +39 045 802 7949

Bicego Manuele

manuele.bicego@univr.it +39 045 802 7072

Bonacina Maria Paola

mariapaola.bonacina@univr.it +39 045 802 7046

Buffelli Mario Rosario

mario.buffelli@univr.it +39 0458027268

Capaldi Stefano

stefano.capaldi@univr.it +39 045 802 7907

Combi Carlo

carlo.combi@univr.it 045 802 7985

Cristani Marco

marco.cristani@univr.it +39 045 802 7841

Daffara Claudia

claudia.daffara@univr.it +39 045 802 7942

Delledonne Massimo

massimo.delledonne@univr.it 045 802 7962; Lab: 045 802 7058

Dell'Orco Daniele

daniele.dellorco@univr.it +39 045 802 7637

Di Persio Luca

luca.dipersio@univr.it +39 045 802 7968

Dominici Paola

paola.dominici@univr.it 045 802 7966; Lab: 045 802 7956-7086

Eleuteri Michela

Farinelli Alessandro

alessandro.farinelli@univr.it +39 045 802 7842

Fiorini Paolo

paolo.fiorini@univr.it 045 802 7963

Franco Giuditta

giuditta.franco@univr.it +39 045 802 7045

Giachetti Andrea

andrea.giachetti@univr.it +39 045 8027998

Giorgetti Alejandro

alejandro.giorgetti@univr.it 045 802 7982

Gregorio Enrico

Enrico.Gregorio@univr.it 045 802 7937

Guerriero Massimo

massimo.guerriero@univr.it

Menegaz Gloria

gloria.menegaz@univr.it +39 045 802 7024

Piccinelli Fabio

fabio.piccinelli@univr.it +39 045 802 7097

Quaglia Davide

davide.quaglia@univr.it +39 045 802 7811

Trabetti Elisabetta

elisabetta.trabetti@univr.it 045/8027209

Vigano' Luca

luca.vigano@univr.it

Villa Tiziano

tiziano.villa@univr.it +39 045 802 7034

Study Plan

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University. Please select your Study Plan based on your enrolment year.

2° Year

ModulesCreditsTAFSSD
12
B
(INF/01)
12
C
(BIO/10)
6
C
(BIO/18)

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S02709

Credits

12

Coordinatore

Maria Paola Bonacina

The teaching is organized as follows:

Algoritmi per bioinformatica

Credits

6

Period

I semestre

Academic staff

Maria Paola Bonacina

Laboratorio di programmazione ii

Credits

6

Period

I semestre

Academic staff

Alessandro Farinelli

Learning outcomes

Module: LABORATORIO DI PROGRAMMAZIONE II
-------
Objective of the course is to provide the basic knowledge to develop algorithms and use applications relevant to bioinformatics.


Module: ALGORITMI PER BIOINFORMATICA
-------
Objective of the course is to teach the basics in design and analysis of algorithms with emphasis on problems of interests for bioinformatics.

Program

Module: LABORATORIO DI PROGRAMMAZIONE II
-------
Java implementation of dynamic data structures and relevant algorithms. Recursion. Interfaces and packages. The student will acquire the necessary knowledge through assisted software development and realizing specific projects. Development of algorithms for sorting, search (greedy and exhaustive) and main algorithms on graphs, applied to problems that are relevant to bioinformatics. Basic functionalities of numerical tools (MATLAB) and spreadsheets for data visualization and statistical analysis.


Module: ALGORITMI PER BIOINFORMATICA
-------
Sorting algorithms. Divide-and-conquer algorithms. Data structures. Graph algorithms. Search algorithms. Greedy algorithms. Dynamic programming. Algorithms and complexity: big-O notation.

Examination Methods

Module: LABORATORIO DI PROGRAMMAZIONE II
-------
The grade in "Algorithms" is given by 50% AB + 50% LPII, where AB is the grade in "Algorithms for Bioinformatics" and LPII is the grade in "Programming Laboratory II".
Following the University Handbook for Teaching, beginning with AcaYr 2011-12, the "Algorithms" course follows the model "two or more intermediate tests, one final test and three full exams" so that there are altogether four possibilities to pass the class.

With multiple tests: AB = 35% C1 + 40% C2 + 25% CC, LPII = 50% P + 50% L, where C1 (intermediate test) and C2 (final test) are written tests in class, CC is the overall grade in the homeworks (intermediate test), P is a project in the lab (intermediate test) and L is a lab test (intermediate test). The grade thus generated is registered at the first exam session in February.

With single tests: AB = 100% E, LPII = 100% EL, where E is a written test, and EL is a lab test, each hard enough to match the difficulty of C1 + C2 + CC and P + L, respectively. Two full exams are offered in February, and one in June. In the February session it is possible to take E at the first full exam and EL at the second one or vice versa. In June one has to take E and EL together.
Registration: it is not possible to reject a grade and all grades are registered. Withdrawal: Students may withdraw by informing the instructor. All tests and projects are to be carried out individually. Cheating is strictly forbidden and will determine lowering of grades for all students involved.


Module: ALGORITMI PER BIOINFORMATICA
-------
The grade in "Algorithms" is given by 50% AB + 50% LPII, where AB is the grade in "Algorithms for Bioinformatics" and LPII is the grade in "Programming Laboratory II".
AB = 35% C1 + 40% C2 + 25% CC, LPII = 50% P + 50% L, where C1 is a written test (midterm exam), C2 is a written test (final exam), CC is the overall grade in the homeworks, P is a project in the lab and L is a lab test. The grade thus generated is registered at the first exam session in February.
Alternatively, AB = 100% E, LPII = 100% EL, where E is a written test, and EL is a lab test, each hard enough to match the difficulty of C1 + C2 + CC and P + L, respectively.
Registration: all grades are registered. Withdrawal: Students may withdraw by informing the instructor. All tests and projects are to be carried out individually. Cheating is strictly forbidden and will determine lowering of grades for all students involved.

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
Neil C. Jones, Pavel A. Pevzner An introduction to bioinformatics algorithms (Edizione 1) MIT Press 2004 0-262-10106-8
Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein Introduction to Algorithms (Edizione 3) MIT Press 2009 978-0-262-53305-8

Type D and Type F activities

Modules not yet included

Career prospects


Module/Programme news

News for students

There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details.

Attendance

As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.

Graduation

List of theses and work experience proposals

Stage Research area
Correlated mutations Various topics

Gestione carriere


Further services

I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.